Data Surge is disrupting the services industry with cutting-edge technology, and they are seeking a skilled and motivated Senior Data Engineer with deep Databricks and cloud experience. The role involves designing and implementing scalable data solutions, optimizing pipelines, and automating infrastructure within secure cloud environments.

Responsibilities:

Design, develop, and optimize robust data pipelines in Databricks to process and transform large-scale data sets
Collaborate with data scientists, engineers, and cloud architects to build reliable, secure data systems
Automate infrastructure provisioning using Terraform and manage resources on Azure (or AWS/GCP)
Monitor, troubleshoot, and support production-grade data pipelines and jobs
Develop CI/CD workflows to streamline deployment and version control of data processing code
Ensure security, performance, and reliability across all stages of data workflow
Utilize and manage Docker containers where needed to deploy data services
Participate in Agile team ceremonies and help shape iterative data delivery plans
Support continuous improvement in data architecture, automation, and governance practices
Other duties as reasonably required

Requirements:

U.S. Citizenship
5+ years of experience in data engineering or backend data infrastructure roles
2+ years of hands-on experience with Databricks, Spark, or distributed data processing systems in a production environment
Deep proficiency with PySpark and Python for data engineering tasks
Experience with data modeling
Solid experience with Airflow, dbt, or other orchestration and transformation tools
Proven skills in data governance, lineage, or security best practices
Experience working with Azure (preferred), AWS, or Google Cloud
Strong working knowledge of CI/CD tools and version control workflows
Comfortable working with relational (e.g., PostgreSQL, MySQL) and NoSQL databases
Proven experience in monitoring, debugging, and scaling cloud-based data systems
Strong communication skills and ability to work independently in a remote team environment
Experience with Kubernetes and Helm for deploying data workloads (not required)
Solid experience with Terraform or other Infrastructure as Code tools
Familiarity with containerization using Docker
Knowledge of data lakehouse architectures and Delta Lake
Experience working on Federal or government projects
Existing security clearance (preferred but not required)
Databricks Certification
Bachelor's
Data Engineering: 7 years
Databricks: 3 years

Data Surge

Open Positions (1)

Engineering

Data Engineer